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  • FAQ
  • UNDERSTANDING MACHINE LEARNING
    • What is Graphite Note
      • Graphite Note Insights Lifecycle
    • Introduction to Machine Learning
      • What is Machine Learning
      • Data Analitycs Maturity
    • Machine Learning concepts
      • Key Drivers
      • Confusion Matrix
      • Supervised vs Unsupervised ML
  • Demo datasets
    • Demo Datasets
      • Ads
      • Churn
      • CO2 Emission
      • Diamonds
      • eCommerce Orders
      • Housing Prices
      • Lead Scoring
      • Mall Customers
      • Marketing Mix
      • Car Sales
      • Store Item Demand
      • Upsell
    • What Dataset do I need for my use case?
      • Predict Cross Selling: Dataset
      • Predict Customer Churn: Dataset
      • Predictive Lead Scoring: Dataset
      • Predict Revenue : Dataset
      • Product Demand Forecast: Dataset
      • Predictive Ads Performance: Dataset
      • Media Mix Modeling (MMM): Dataset
      • Customer Lifetime Value Prediction : Dataset
      • RFM Customer Segmentation : Dataset
    • Dataset examples - from online sources
      • Free datasets for Machine Learning
  • Datasets
    • Introduction
    • Prepare your Data
      • Data Labeling
      • Expanding datasets
      • Merging datasets
      • CSV File creating and formatting
    • Data sources in Graphite Note
      • Import data from CSV file
        • Re-upload or append CSV
        • CSV upload troubleshooting tips
      • MySQL Connector
      • MariaDB Connector
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      • Redshift Connector
      • Big Query Connector
      • MS SQL Connector
      • Oracle Connector
  • Models
    • Introduction
    • Preprocessing Data
    • Machine Learning Models
      • Timeseries Forecast
      • Binary Classification
      • Multiclass Classification
      • Regression
      • General Segmentation
      • RFM Customer Segmentation
      • Customer Lifetime Value
      • Customer Cohort Analysis
      • ABC Pareto Analysis
      • New vs Returning Customers
    • Predict with ML Models
    • Overview and Model Health Check
    • Advanced parameters in ML Models
    • Actionable insights in ML Models
    • Improve your ML Models
  • Notebooks
    • What is Notebook?
    • My first Notebook
    • Data Visualization
  • REST API
    • API Introduction
    • Dataset API
      • Create
      • Fill
      • Complete
    • Prediction API
      • Quickstart
      • Request
        • Headers
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        • Data
      • Response
        • Response Structure
      • API Limits
    • Model Results API
      • Quickstart
      • Request
        • Headers
        • Body
      • Response
      • Usage Notes
      • Code Examples
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  1. UNDERSTANDING MACHINE LEARNING

What is Graphite Note

Graphite Note is a no-code machine learning platform that enables data analysts to create predictive models in minutes. By connecting your data, the platform automatically preprocesses it, allowing you to train AI models without coding. It identifies key drivers affecting predictions and provides actionable insights through generative AI, facilitating data-driven decision-making. Graphite Note supports various industries with prebuilt model templates, making complex data analysis accessible and efficient.

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Last updated 3 months ago

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